How to Read a Frequency Distribution Table

Oct 13, 2025 by recoveryshake.com 49 views

**Understanding Frequency Distribution Tables: A Guide to Analyzing Data**

What is a Frequency Distribution Table?

A frequency distribution table is a table that displays the frequency of each value in a dataset. It is a way to organize and summarize data, making it easier to understand and analyze. The table typically consists of two columns: one for the values and one for the frequency of each value.

How to Read a Frequency Distribution Table

To read a frequency distribution table, you need to understand the following:

Values: These are the individual data points in the dataset.
Frequency: This is the number of times each value appears in the dataset.
Total: This is the total number of data points in the dataset.

Example of a Frequency Distribution Table

Age	Frequency
20-24	10
25-29	15
30-34	20
35-39	25
40-44	30
45-49	35
50-54	40
55-59	45
60-64	50
65-69	55
70-74	60
75-79	65
80-84	70
85-89	75
90-94	80
95-99	85

What is the Age of the Oldest Person in this Data?

Based on the frequency distribution table above, what is the age of the oldest person (observation) in this data?

A. 94 B. It is not possible to tell - the person is at least 85 but could be anywhere between 85 and 94 in age C. It is not possible to tell - the person is at least 90 but could be anywhere between 90 and 94 in age

Answer

B. It is not possible to tell - the person is at least 85 but could be anywhere between 85 and 94 in age

Explanation

The frequency distribution table shows that the oldest age group is 90-94, with a frequency of 80. However, it does not provide information about the individual data points within this age group. Therefore, we cannot determine the exact age of the oldest person in the data.

Q&A

Q: What is the purpose of a frequency distribution table?

A: The purpose of a frequency distribution table is to organize and summarize data, making it easier to understand and analyze.

Q: How do I read a frequency distribution table?

A: To read a frequency distribution table, you need to understand the values and frequency of each value, as well as the total number of data points in the dataset.

Q: What is the age of the oldest person in this data?

A: Based on the frequency distribution table above, it is not possible to tell - the person is at least 85 but could be anywhere between 85 and 94 in age.

Q: Why can't we determine the exact age of the oldest person in the data?

A: We can't determine the exact age of the oldest person in the data because the frequency distribution table does not provide information about the individual data points within the oldest age group.

Q: What is the total number of data points in this dataset?

A: The total number of data points in this dataset is not provided in the frequency distribution table.

Q: How can I determine the total number of data points in this dataset?

A: To determine the total number of data points in this dataset, you need to add up the frequencies of all the age groups.

Q: What is the frequency of the oldest age group?

A: The frequency of the oldest age group (90-94) is 80.

Q: What is the age range of the oldest person in this data?

A: The age range of the oldest person in this data is at least 85 but could be anywhere between 85 and 94 in age.

Q: Why is it not possible to determine the exact age of the oldest person in the data?

A: It is not possible to determine the exact age of the oldest person in the data because the frequency distribution table does not provide information about the individual data points within the oldest age group.

Q: What is the purpose of analyzing frequency distribution tables?

A: The purpose of analyzing frequency distribution tables is to understand the distribution of data and identify patterns and trends.

Q: How can I analyze frequency distribution tables?

A: To analyze frequency distribution tables, you need to understand the values and frequency of each value, as well as the total number of data points in the dataset.

Q: What are some common applications of frequency distribution tables?

A: Frequency distribution tables are commonly used in statistics, data analysis, and research to summarize and analyze data.

Q: How can I create a frequency distribution table?

A: To create a frequency distribution table, you need to organize and summarize your data, and then display the frequency of each value in a table.

Q: What are some common mistakes to avoid when creating a frequency distribution table?

A: Some common mistakes to avoid when creating a frequency distribution table include:

Not including all the data points in the table
Not including the total number of data points in the table
Not displaying the frequency of each value in the table

Q: How can I use frequency distribution tables to make informed decisions?

A: To use frequency distribution tables to make informed decisions, you need to understand the values and frequency of each value, as well as the total number of data points in the dataset. This will help you identify patterns and trends in the data, and make informed decisions based on the analysis.